update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: distilroberta-base-mrl
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# distilroberta-base-mrl
+
+This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5367
+- Accuracy: 0.82
+- F1: 0.8200
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 6.36861104886319e-05
+- train_batch_size: 400
+- eval_batch_size: 400
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 7
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 1.0   | 48   | 0.4522          | 0.7879   | 0.7867 |
+| No log        | 2.0   | 96   | 0.4238          | 0.8075   | 0.8073 |
+| No log        | 3.0   | 144  | 0.4283          | 0.8121   | 0.8120 |
+| No log        | 4.0   | 192  | 0.4556          | 0.8129   | 0.8128 |
+| No log        | 5.0   | 240  | 0.4743          | 0.8196   | 0.8195 |
+| No log        | 6.0   | 288  | 0.5183          | 0.8175   | 0.8175 |
+| No log        | 7.0   | 336  | 0.5367          | 0.82     | 0.8200 |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.11.0+cu113
+- Datasets 2.1.0
+- Tokenizers 0.12.1